An object capturing device includes light emission, receiving, and scanning units, and distance calculation, and object determination units. The scanning unit measures light from the emission unit to head toward a measurement target space to perform scanning, and to guide reflected light from the object with respect to the measurement light to the receiving unit. The distance calculation unit calculates a distance to the object in association with a scanning angle of the scanning unit. The object determination unit determines whether the object is a capture target based on whether a scanning angle range within which a difference between distances is equal to or less than a predetermined threshold value corresponding to a reference scanning angle range of the capture target, and a determination of whether intensity distribution of the reflected light within the scanning angle range corresponds to reference intensity distribution of the reflected light from the capture target.

Systems and methods for loading and delivering stalk subassemblies and yarn packages are disclosed herein. Such systems and methods can have at least one processor, at least one automated guided vehicle, at least one creel assembly, and an automated creel loading assembly. The at least one automated guided vehicle can be communicatively coupled to the at least one processor. The at least one processor can be configured to selectively direct an automated guided vehicle to engage a respective stalk subassembly. Upon engagement between the automated guided vehicle and the stalk subassembly, the processor can be configured to selectively direct the automated guided vehicle to move about and between the selected operative position within the creel assembly and a loading position proximate the automated creel loading assembly.

Disclosed herein is an automated conveyance robot (ACR) for conveying movable platforms (MPs) in and out of trailers. A lift carriage at a first end of the ACR is configured to couple to the MP during movement and disengage after movement. A counterweight system at a second end of the ACR counterbalances the ACR during conveyance. The ACR comprises a front drive assembly and a rear drive assembly which are independently steerable to allow for different steering methods. The ACR can function fully automated or can be controlled

The invention discloses a material transport method between process points of a photovoltaic production line. A mobile robot receives an instruction to transport materials from one process point to another, and the mobile robot and the process point dock based on near field communication to take or discharge materials. In the operation method and system of the invention, the flower baskets are transported from one process point to another on the photovoltaic production line by means of a mobile robot instead of manual human effort, significantly improving the automation degree and production efficiency of the photovoltaic production line, ensuring transportation safety, and reducing labor cost.

A robot includes a movable section capable of moving, a driving section configured to drive the movable section, a transmitting section located between the movable section and the driving section, a first position detecting section configured to detect a position on an input side of the transmitting section, a second position detecting section configured to detect a position on an output side of the transmitting section, and an inertial sensor provided in the movable section. The driving section is driven on the basis of a detection result of the first position detecting section, a detection result of the second position detecting section, and a detection result of the inertial sensor.

Methods for manufacturing automation and a computer executed automated handling system for forming a device are presented. The method includes issuing a transfer request by a tool. The transfer request is processed by a production control system configured for tracking and controlling the flow of carriers. The processing of the transfer request includes selecting a carrier containing production material. A transport system having transport and load/unload (U/L) units in a production area to effect a transfer is controlled and the carrier is transferred by the transport system.

Provided is a distributed robot scheduling decision method. The method includes: a task pack including at least one task is received, and the task pack is transmitted to other robots in swarm robots (S10); a decision is made according to a claiming decision variable to claim a task suitable for execution in the task pack (S11); and the task suitable for execution is executed (S12). In such a manner, swarm robots may communicate with one another for task transmission and make decisions according to claiming decision variables to claim tasks suitable for execution in the task pack for execution. Therefore, a technical effect that the swarm robots may make decisions independently rather than in centralized decision and central control decision manners to effectively avoid overloading a server at a high possibility is achieved, and moreover, a technical effect of intelligently selecting tasks for execution to improve the execution efficiency is achieved.

In a transfer system, at least one of a plurality of process apparatuses is connected to a station as a connected process apparatus. A station control unit controls a transfer device provided in the station through a communication with a process apparatus control unit to load the processing object to the connected process apparatus from the station and to unload the processing object from the connected process apparatus to the station. The station control unit controls the transfer device to begin unloading of the processing object from the connected process apparatus to the station after receiving a signal indicative of a presence of the processing object to be unloaded from the process apparatus control unit.

A textile machine management system and associated method for textile machines include automated guided transportation vehicles that transport material carriers between the textile machines. A logistic control system controls movement of the transportation vehicles. A material management apparatus manages the material flow between the textile machines and includes: a material flow database; a prediction module; and a disposition module.

Provided is a distributed robot scheduling decision method. The method includes: a task pack including at least one task is received, and the task pack is transmitted to other robots in swarm robots (S10); a decision is made according to a claiming decision variable to claim a task suitable for execution in the task pack (S11); and the task suitable for execution is executed (S12). In such a manner, swarm robots may communicate with one another for task transmission and make decisions according to claiming decision variables to claim tasks suitable for execution in the task pack for execution. Therefore, a technical effect that the swarm robots may make decisions independently rather than in centralized decision and central control decision manners to effectively avoid overloading a server at a high possibility is achieved, and moreover, a technical effect of intelligently selecting tasks for execution to improve the execution efficiency is achieved.